This project was made in order to help people create nutritions an controll diet. Application helps controll calories, consider best products based on person characteristics and able to check nutrition grade of your dishes.
According to Crisp/DM. Data preparation consists of several notebooks.
- processing notebook - all the necessary preparations on dataset. Clearing, enrichment etc.
- modelling notebook - includes pipeline for model training.
- Please. install jupyter notebook locally or use Google Colab.
- Install Open Food Facts dataset from official webseite: https://world.openfoodfacts.org/data
- Install all the necessary requirenmentt from requirenments.txt
Use this command:
pip install -r requirenments.txt - Change filenames and paths based on your project.
For more detailed dataset overview you can visit kaggle website: https://www.kaggle.com/datasets/openfoodfacts/world-food-facts/data
- Data Mining Concepts and Techniques/Authors: Jiawei Han, Micheline Kamber, Jian Pei; Morgan Kauffman Publishing